Data Analyst - FMCG Domain

India - Bangalore

The core activities of the Data Analyst in the team include :

- Drive analytics in the team with support from junior team members

- Undertake requirements gathering on business questions to be addressed and related performance drivers and key metrics

- Propose, develop, and implement analytics models based on the business questions asked and the potential model's advantages and disadvantages

- Do ad-hoc analysis early on, precisely interpret the results to fine tune the modelling

- Prepare data sets from ext. and int. sources in tactical performance data repository

- Prepare the data for the modelling as required, taking into account data quality limitations and the applied modelling technique

- Evaluate data mining models for quality and effectiveness, challenge results from a business perspective

- Continuously align and adjust data mining models to evolving business requirements

- Enrich system data with additional mappings and allocations, in line with performance measurement, data quality, and governance standards

- Use knowledge of existing data to propose and provide insights on performance drivers

- Contributing to ad-hoc projects and supporting other team members as required

- Help to derive competitive advantage from our data assets and analytic capabilities

- Improve operational effectiveness through innovative uses of data and advanced analytics

About the team

The team is at the core of the Business Performance team. The team combines focused performance projects, the management of the BU's strategic initiatives performance cycle, and innovative and insightful financial performance analytics.

About You

- Overall 7+ years of working experience in analytics, data science, business intelligence or similar function

- Knowledgeable about different analytics methods / techniques, their advantages and disadvantages (e.g. machine learning technique selection based on multiple factors as data size, results accuracy etc.) and their purpose

- Ability to work in the intersection of analytics, statistics and data pre-processing/management, also able to handle unstructured data

- Basic to mid-level understanding of the business risk selection, underwriting practices, and experience in analysing the portfolios is a plus

- Hands on experience performing data mining tasks based on the cross industry standard process for data mining

- Excellent command of spoken and written English

- University degree (or equivalent) in quantitative field (e.g. Mathematics, Physics, Engineering or Information Technology)

- Actuarial education is considered a plus

- Basic understanding of reporting processes or experience in Finance is a plus

Specific soft skills :

- A self-starter and able to solve problems and develop solutions

- Inquisitive, proactive and willing to learn new technologies

- Strong client centric attitude embracing product ownership

- Resourceful in coming up with different modelling approaches based on the business requirements

- Process and delivery mind-set striving for methodological and operational improvements

- Intellectual curiosity with eagerness to understand insurance business and its economics

- Mentoring skills are considered as a plus

Specific technical skills :

- Very strong analytical skills (statistics, data exploration / visualization)

- Knowledge of PowerPivot, SSIS / SSAS, DAX/MDX, SQL, R, Python and advanced analytics platform

- Programming and data management skills required (e.g. for MS BI environment)

Candidates only with analytics background only from FMCG and Retail preferred

NO candidates from other domains